Zezhong Ye
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Deep Learning–based Detection of Intravenous Contrast Enhancement on CT Scans
2022 · 22 Zit. · Radiology Artificial Intelligence
SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations
2023 · 3 Zit. · Software Impacts
Revolutionizing Postoperative Free Flap Monitoring—The Promise of AI to Improve Health Outcomes
2024 · 2 Zit. · JAMA Network Open
Supplementary Data from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics
2023 · 0 Zit.
Supplementary Figure S2 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics
2023 · 0 Zit.
TABLE 1 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics
2023 · 0 Zit.
Supplementary Figure S1 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics
2023 · 0 Zit.
Supplementary Figure S1 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics
2023 · 0 Zit.
Supplementary Figure S3 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics
2023 · 0 Zit.
Supplementary Data from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics
2023 · 0 Zit.
Deciphering pediatric low-grade glioma trajectories: Deep learning–based volumetrics for patients under surveillance.
2024 · 0 Zit. · Journal of Clinical Oncology
Supplementary Figure S3 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics
2023 · 0 Zit.
Supplementary Figure S4 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics
2023 · 0 Zit.
Supplementary Data from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics
2023 · 0 Zit.
Data from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics
2023 · 0 Zit.